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Accepted (AM)Open Access (License Unspecified), Open
Book chapter
Introductory Review of Computational Cell Cycle Modeling
Cell Cycle Control, pp 267-275
14 May 2014
PMID: 24906317
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Recent advances in the modeling of the cell cycle through computer simulation demonstrate the power of systems biology. By definition, systems biology has the goal to connect a parts list, prioritized through experimental observation or high-throughput screens, by the topology of interactions defining intracellular networks to predict system function. Computer modeling of biological systems is often compared to a process of reverse engineering. Indeed, designed or engineered technical systems share many systems-level properties with biological systems; thus studying biological systems within an engineering framework has proven successful. Here we review some aspects of this process as it pertains to cell cycle modeling.
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Details
- Title
- Introductory Review of Computational Cell Cycle Modeling
- Creators
- Andres Kriete - Drexel UniversityEishi Noguchi - Drexel UniversityChristian Sell - Drexel University
- Publication Details
- Cell Cycle Control, pp 267-275
- Series
- Methods in Molecular Biology; 1170
- Publisher
- Springer New York; New York, NY
- Number of pages
- 9
- Resource Type
- Book chapter
- Language
- English
- Academic Unit
- Biochemistry and Molecular Biology; School of Biomedical Engineering, Science, and Health Systems
- Web of Science ID
- WOS:000338508500013
- Scopus ID
- 2-s2.0-84958756527
- Other Identifier
- 991014877759104721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Biochemical Research Methods
- Biochemistry & Molecular Biology